It’s no secret that Google is heavily invested in machine learning algorithms for use in its vast software portfolio. Products like Street View, Inbox Smart Reply and even voice search rely heavily on machine learning to deliver customers the data they need in quick fashion. But behind what may seem like rather mundane software on the surface is some incredibly powerful hardware. In Google’s case, the company has been using its own custom ASIC for the past year which it calls the Tensor Processing Unit (TPU) to power its machine learning efforts. If you want to know just how powerful Google’s TPU is, then look no further than the famed AlphaGo computer that bested Go champion Lee Sedol on multiple occasions during the DeepMind AI Challenge. Sedol is one of…